Crosstalk Model Research Articles

Intercolor-Filter Crosstalk Model for Image Sensors With Color Filter Array

A color crosstalk model for an area image sensor with a color filter (CF) array is proposed, which quantifies the crosstalk in a physically intuitive manner by introducing “inter-CF optical crosstalk (inter-CF crosstalk).” The model separates the structural design originated crosstalk from the CF material itself, revealing the sole characteristics of microstructures on a photodiode. A constrained nonlinear estimation is used to solve the model equation of system matrices with an objective function focusing on matching between the modeled quantum efficiency spectra and measured ones at both the peak and crosstalk regions. The model is applied to 1.1- $\mu \text{m}$ backside-illuminated CMOS image sensors having four different kinds of optical structures on the photodiode of the same design, and successfully provides the ground of comparison with excellent matching between the models and the measurement results.

An Interaction Theory-based New Distance Teaching Model for Cross Talk

At present, most distance education platforms are often featured by the lack of specialty, only deposit teaching resources on the server, and fail to meet students’ needs of selective learning and periodical learning. Secondly, there is no Internet-based online teaching platform system in the current technology to support interactive teaching services. In order to improve the teaching effect, a teaching model was proposed in this study to apply the new distance education technology integrated with interaction theory into art performance courses. The concrete combination method was introduced using the course of Cross Talk as an example. From the comparison between the traditional teaching model and the improved teaching model, it can be seen that integration of the new distance learning model into the teaching of Cross Talk can enhance the teaching effect and improve students’ learning attitude. Moreover, the courseware resources and interactive Q&A module provided via the platform can assist students to reinforce their comprehension of all the knowledge, more intuitively recognize the characteristics of Cross Talk as an art performance course and meet the requirements of modern society on art performance graduates.

Crosstalk Modeling in Lens Based Free Space Optical Interconnects Systems with Circular Symmetry

We introduce convenient model and an optimization scheme to optimize the signal-to-crosstalk ratio (SCR) in a free space optical interconnects (FSOIs) system that uses microlenses with finite circular apertures. In this model, we consider both the stray light crosstalk and the crosstalk due to the diffraction at the microlens apertures to evaluate the SCR. Using cylindrical form of Collins diffraction integral and the Laguerre–Gaussian (LG) beam model, we derive an approximate closed form formula for the optical field of a multimode LG beam propagating through circular apertured FSOIs by expanding the hard edge circular aperture function of the microlens in terms of complex Gaussian functions. The analyses indicate that the size of the detector is an important factor to optimize the SCR for both the apertured and the unapertured misaligned FSOIs system. The effect of higher order mode of the laser source on the SCR is also considered.

Exploration of ABA Responsive miRNAs Reveals a New Hormone Signaling Crosstalk Pathway Regulating Root Growth of Populus euphratica

Abscisic acid (ABA) plays an important role in the regulation of plant adaptation, seed germination, and root development in plants. However, the mechanism of ABA regulation of root development is still poorly understood, especially through the miRNA-mediated pathway. Here, small RNA (sRNA)-seq and degradome-seq were used to analyze the miRNAs’ responsive to ABA in the stems and roots of P. euphratica, a model tree species for abiotic stress-resistance research. In total, 255 unique mature sequences, containing 154 known miRNAs and 101 novel miRNAs were identified, among which 33 miRNAs and 54 miRNAs were responsive to ABA in the roots and stems, respectively. Furthermore, the analysis of these miRNAs and their targets revealed a new hormone signaling crosstalk model of ABA regulation of root growth through miRNA-mediated pathways, such as peu-miR-n68 mediation of the crosstalk between ABA and the brassinosteroid (BR) signaling pathway and peu-miR477b mediation of the crosstalk between ABA and Gibberellic acid (GA) signaling. Taken together, our genome-wide analysis of the miRNAs provides a new insight into the mechanism of ABA regulation of root growth in Populus.

Mechanobiological Mimicry of Helper T Lymphocytes to Evaluate Cell-Biomaterials Crosstalk.

The unique properties of immune cells have inspired many efforts in engineering advanced biomaterials capable of mimicking their behaviors. However, an inclusive model capable of mimicking immune cells in different situations remains lacking. Such models can provide invaluable data for understanding immune-biomaterial crosstalk. Inspired by CD4+ T cells, polymeric microparticles with physicochemical properties similar to naïve and active T cells are engineered. A lipid coating is applied to enhance their resemblance and provide a platform for conjugation of desired antibodies. A novel dual gelation approach is used to tune the elastic modulus and flexibility of particles, which also leads to elongated circulation times. Furthermore, the model is enriched with magnetic particles so that magnetotaxis resembles the chemotaxis of cells. Also, interleukin-2, a proliferation booster, and interferon-γ cytokines are loaded into the particles to manipulate the fates of killer T cells and mesenchymal stem cells, respectively. The penetration of these particles into 3D environments is studied to provide in vitro models of immune-biomaterials crosstalk. This biomimicry model enables optimization of design parameters required for engineering more efficient drug carriers and serves as a potent replica for understanding the mechanical behavior of immune cells.

Spatio-energetic cross-talk in photon counting detectors: Numerical detector model (PcTK) and workflow for CT image quality assessment.

The interpixel cross-talk of energy-sensitive photon counting x-ray detectors (PCDs) has been studied and an analytical model (version 2.1) has been developed for double-counting between neighboring pixels due to charge sharing and K-shell fluorescence x-ray emission followed by its reabsorption (Taguchi K, etal., Medical Physics 2016;43(12):6386-6404). While the model version 2.1 simulated the spectral degradation well, it had the following problems that has been found to be significant recently: (1) The spectrum is inaccurate with smaller pixel sizes; (2) the charge cloud sizemust be smaller than the pixel size; (3) the model underestimates the spectrum/counts for 10-40keV; and (4) the model version 2.1 cannot handlen-tuple-counting withn>2 (i.e., triple-counting or higher). These problems are inherent to the design of the model version 2.1; therefore, we developed a new model and addressed these problems in this study. We propose a new PCD cross-talk model (version 3.2; Pc TK for "photon counting toolkit") that is based on a completely different design concept from the previous version. It uses a numerical approach and starts with a 2-D model of charge sharing (as opposed to an analytical approach and a 1-D model with version 2.1) and addresses all of the four problems. The model takes the following factors into account: (1) shift-variant electron density of the charge cloud (Gaussian-distributed), (2) detection efficiency, (3) interactions between photons and PCDs via photoelectric effect, and (4) electronic noise. Correlated noisy PCD data can be generated using either a multivariate normal random number generator or a Poisson random number generator. The effect of the two parameters, the effective charge cloud diameter (d0 ) and pixel size (dpix ), was studied and results were compared with Monte Carlo simulations and the previous model version 2.1. Finally, a script for the workflow for CT image quality assessment has been developed, which started with a few material density images, generated material-specific sinogram (line integrals) data, noisy PCD data with spectral distortion using the model version 3.2, and reconstructed PCD- CT images for four energy windows. The model version 3.2 addressed all of the four problems listed above. The spectra withdpix =56-113μm agreed with that of Medipix3 detector withdpix =55-110μm without charge summing mode qualitatively. The counts for 10-40keV were larger than the previous model (version 2.1) and agreed with MC simulations very well (root-mean-square difference values with model version 3.2 were decreased to 16%-67% of the values with version 2.1). There were many non-zero off-diagonal elements withn-tuple-counting withn>2 in the normalized covariance matrix of 3×3 neighboring pixels. Reconstructed images showed biases and artifacts attributed to the spectral distortion due to the charge sharing and fluorescence x rays. We have developed a new PCD model for spatio-energetic cross-talk and correlation between PCD pixels. The workflow demonstrated the utility of the model for general or task-specific image quality assessments for the PCD- CT.Note: The program (Pc TK) and the workflow scripts have been made available to academic researchers. Interested readers should visit the website (pctk.jhu.edu) or contact the corresponding author.

An Efficient Crosstalk Model For Coupled Multiwalled Carbon Nanotube Interconnects

In this paper, the crosstalk effects in coupled multiwalled carbon nanotube (MWCNT) interconnects have been analyzed. An unconditionally stable finite-difference time-domain (USFDTD) technique has been used for the crosstalk model. The in_phase delay, out_phase delay, and crosstalk noise for coupled interconnect lines have been determined. It is observed that crosstalk effect is less severe in MWCNT interconnects compared to the conventional copper interconnects. The results of the proposed model have been verified with the conventional FDTD technique, hailey simulation program with integrated circuit emphasis (HSPICE), and feature selective validation. For transient analysis, the proposed model on an average consumes 46% lesser CPU runtime as compared to the conventional FDTD technique. Further, stress and electro-migration effects have been analyzed for copper and MWCNT interconnects. The mean time to failure of MWCNT interconnects is found to be superior than that of copper interconnects.

Complement Receptor 3-Mediated Inhibition of Inflammasome Priming by Ras GTPase-Activating Protein During Francisella tularensis Phagocytosis by Human Mononuclear Phagocytes.

Francisella tularensis is a remarkably infectious facultative intracellular bacterium of macrophages that causes tularemia. Early evasion of host immune responses contributes to the success of F. tularensis as a pathogen. F. tularensis entry into human monocytes and macrophages is mediated by the major phagocytic receptor, complement receptor 3 (CR3, CD11b/CD18). We recently determined that despite a significant increase in macrophage uptake following C3 opsonization of the virulent Type A F. tularensis spp. tularensis Schu S4, this phagocytic pathway results in limited pro-inflammatory cytokine production. Notably, MAP kinase/ERK activation is suppressed immediately during C3-opsonized Schu S4-CR3 phagocytosis. A mathematical model of CR3-TLR2 crosstalk predicted early involvement of Ras GTPase-activating protein (RasGAP) in immune suppression by CR3. Here, we link CR3-mediated uptake of opsonized Schu S4 by human monocytes and macrophages with inhibition of early signal 1 inflammasome activation, evidenced by limited caspase-1 cleavage and IL-18 release. This inhibition is due to increased RasGAP activity, leading to a reduction in the Ras-ERK signaling cascade upstream of the early inflammasome activation event. Thus, our data uncover a novel signaling pathway mediated by CR3 following engagement of opsonized virulent F. tularensis to limit inflammasome activation in human phagocytic cells, thereby contributing to evasion of the host innate immune system.

Bayesian uncertainty analysis for complex systems biology models: emulation, global parameter searches and evaluation of gene functions

BackgroundMany mathematical models have now been employed across every area of systems biology. These models increasingly involve large numbers of unknown parameters, have complex structure which can result in substantial evaluation time relative to the needs of the analysis, and need to be compared to observed data of various forms. The correct analysis of such models usually requires a global parameter search, over a high dimensional parameter space, that incorporates and respects the most important sources of uncertainty. This can be an extremely difficult task, but it is essential for any meaningful inference or prediction to be made about any biological system. It hence represents a fundamental challenge for the whole of systems biology.MethodsBayesian statistical methodology for the uncertainty analysis of complex models is introduced, which is designed to address the high dimensional global parameter search problem. Bayesian emulators that mimic the systems biology model but which are extremely fast to evaluate are embeded within an iterative history match: an efficient method to search high dimensional spaces within a more formal statistical setting, while incorporating major sources of uncertainty.ResultsThe approach is demonstrated via application to a model of hormonal crosstalk in Arabidopsis root development, which has 32 rate parameters, for which we identify the sets of rate parameter values that lead to acceptable matches between model output and observed trend data. The multiple insights into the model’s structure that this analysis provides are discussed. The methodology is applied to a second related model, and the biological consequences of the resulting comparison, including the evaluation of gene functions, are described.ConclusionsBayesian uncertainty analysis for complex models using both emulators and history matching is shown to be a powerful technique that can greatly aid the study of a large class of systems biology models. It both provides insight into model behaviour and identifies the sets of rate parameters of interest.

Diffusive-Probabilistic Model for Inter-Pixel Crosstalk in HgCdTe Focal Plane Arrays

A closed-form probabilistic model for inter-pixel crosstalk in planar HgCdTe focal plane arrays is presented, providing simple expressions of crosstalk as function of device parameters like the pixel pitch, the absorber thickness, and the extension of the carrier depleted region. The method is effective in particular for performing parameter sensitivity studies on inter-pixel crosstalk, as an alternative to large-scale numerical simulations. The model is validated against three-dimensional combined optical and electrical numerical simulations, considering realistic, non-monochromatic illumination.

High-Level Crosstalk Model in N-Coupled Through-Silicon Vias (TSVs)

This paper proposes a regression noise model that can cover the noise effect from N-coupled TSVs based on SPICE simulation and reliability analysis flow for high-level simulation using ...

Digital Predistortion for Multi-Antenna Transmitters Affected by Antenna Crosstalk

In this paper, a digital predistortion (DPD) technique for wideband multi-antenna transmitters is proposed. The proposed DPD compensates for the combined effects of power amplifier (PA) nonlinearity, antenna crosstalk, and impedance mismatch. The proposed technique consists of a linear crosstalk and mismatch model block shared by all transmit paths and a dual-input DPD block in every transmit path. By avoiding the use of multi-input DPD blocks in every transmit path, the complexity of the proposed technique is kept low and scales more favorably with the number of antennas than competing techniques. It is shown that all blocks can be identified from measurements of the PA output signals using least-squares estimation. Measurement results of a four-path transmitter are presented and used to evaluate the proposed DPD technique against existing techniques. The results show that the performance of the proposed DPD technique is similar to those of existing techniques, while the complexity is lower.

Multiwell capillarity-based microfluidic device for the study of 3D tumour tissue-2D endothelium interactions and drug screening in co-culture models

The tumour microenvironment is very complex, and essential in tumour development and drug resistance. The endothelium is critical in the tumour microenvironment: it provides nutrients and oxygen to the tumour and is essential for systemic drug delivery. Therefore, we report a simple, user-friendly microfluidic device for co-culture of a 3D breast tumour model and a 2D endothelium model for cross-talk and drug delivery studies. First, we demonstrated the endothelium was functional, whereas the tumour model exhibited in vivo features, e.g., oxygen gradients and preferential proliferation of cells with better access to nutrients and oxygen. Next, we observed the endothelium structure lost its integrity in the co-culture. Following this, we evaluated two drug formulations of TRAIL (TNF-related apoptosis inducing ligand): soluble and anchored to a LUV (large unilamellar vesicle). Both diffused through the endothelium, LUV-TRAIL being more efficient in killing tumour cells, showing no effect on the integrity of endothelium. Overall, we have developed a simple capillary force-based microfluidic device for 2D and 3D cell co-cultures. Our device allows high-throughput approaches, patterning different cell types and generating gradients without specialised equipment. We anticipate this microfluidic device will facilitate drug screening in a relevant microenvironment thanks to its simple, effective and user-friendly operation.

Characterizing Gene and Protein Crosstalks in Subjects at Risk of Developing Alzheimer’s Disease: A New Computational Approach

Alzheimer’s disease (AD) is a major public health threat; however, despite decades of research, the disease mechanisms are not completely understood, and there is a significant dearth of predictive biomarkers. The availability of systems biology approaches has opened new avenues for understanding disease mechanisms at a pathway level. However, to the best of our knowledge, no prior study has characterized the nature of pathway crosstalks in AD, or examined their utility as biomarkers for diagnosis or prognosis. In this paper, we build the first computational crosstalk model of AD incorporating genetics, antecedent knowledge, and biomarkers from a national study to create a generic pathway crosstalk reference map and to characterize the nature of genetic and protein pathway crosstalks in mild cognitive impairment (MCI) subjects. We perform initial studies of the utility of incorporating these crosstalks as biomarkers for assessing the risk of MCI progression to AD dementia. Our analysis identified Single Nucleotide Polymorphism-enriched pathways representing six of the seven Kyoto Encyclopedia of Genes and Genomes pathway categories. Integrating pathway crosstalks as a predictor improved the accuracy by 11.7% compared to standard clinical parameters and apolipoprotein E ε4 status alone. Our findings highlight the importance of moving beyond discrete biomarkers to studying interactions among complex biological pathways.

Dual Polarization Discrete Changes Model of Inter-Core Crosstalk in Multi-Core Fibers

The discrete changes model (DCM) of inter-core crosstalk (ICXT) in weakly-coupled homogeneous multi-core fibers (MCFs) is generalized to a dual polarization (DP) scheme. This model provides theoretical expressions for the two polarization fields of the ICXT at the MCF output. Therefore, it may be of particular interest in the design of direct-detection MCF systems, where the photodetected ICXT results mainly from the beating between the ICXT field at the MCF output and the carrier of the interfered core. The DP-DCM is validated by comparison of the mean ICXT power and ICXT field amplitude estimates with the ones obtained with a rigorous, yet much more computationally demanding, model based on the coupled local mode theory (CLMT). Good agreement between the mean ICXT power estimates obtained with the DP-DCM and CLMT is observed when the inter-core coupling coefficient variation along the MCF is small. Good agreement is also observed when comparing the probability density functions of the ICXT field amplitude.

Mathematical modelling and analysis of the brassinosteroid and gibberellin signalling pathways and their interactions

The plant hormones brassinosteroid (BR) and gibberellin (GA) have important roles in a wide range of processes involved in plant growth and development. In this paper we derive and analyse new mathematical models for the BR signalling pathway and for the crosstalk between the BR and GA signalling pathways. To analyse the effects of spatial heterogeneity of the signalling processes, along with spatially-homogeneous ODE models we derive coupled PDE-ODE systems modelling the temporal and spatial dynamics of molecules involved in the signalling pathways. The values of the parameters in the model for the BR signalling pathway are determined using experimental data on the gene expression of BR biosynthetic enzymes. The stability of steady state solutions of our mathematical model, shown for a wide range of parameters, can be related to the BR homeostasis which is essential for proper function of plant cells. Solutions of the mathematical model for the BR signalling pathway can exhibit oscillatory behaviour only for relatively large values of parameters associated with transcription factor brassinazole-resistant1’s (BZR) phosphorylation state, suggesting that this process may be important in governing the stability of signalling processes. Comparison between ODE and PDE-ODE models demonstrates distinct spatial distribution in the level of BR in the cell cytoplasm, however the spatial heterogeneity has significant effect on the dynamics of the averaged solutions only in the case when we have oscillations in solutions for at least one of the models, i.e. for possibly biologically not relevant parameter values. Our results for the crosstalk model suggest that the interaction between transcription factors BZR and DELLA exerts more influence on the dynamics of the signalling pathways than BZR-mediated biosynthesis of GA, suggesting that the interaction between transcription factors may constitute the principal mechanism of the crosstalk between the BR and GA signalling pathways. In general, perturbations in the GA signalling pathway have larger effects on the dynamics of components of the BR signalling pathway than perturbations in the BR signalling pathway on the dynamics of the GA pathway. The perturbation in the crosstalk mechanism also has a larger effect on the dynamics of the BR pathway than of the GA pathway. Large changes in the dynamics of the GA signalling processes can be observed only in the case where there are disturbances in both the BR signalling pathway and the crosstalk mechanism. Those results highlight the robustness of the GA signalling pathway.

Thermal effect analysis on crosstalk and performance of optoelectronic transmitter modules for optical interconnects

This paper presents thermal analysis on crosstalk and performance of optoelectronic transmitter modules and also demonstrates the thermal analysis for efficient heat dissipation for the transmitter modules. The thermal crosstalk model for analysis is based on interconnects parameters for vertically stacked and horizontally packaged optoelectronic transmitter modules. While the analytical expression is used to estimate the thermal critical frequency, f crit_th , above which signals become severely deteriorated, a Teflon-based thermal printed circuit board (PCB) has been designed for packaging the optoelectronic transmitter modules to ensure efficient heat dissipation. The thermal and performance analysis of the packaged modules show that the chips operate at temperatures below the f crit_th , which is apt for reliable data and signal transmission.

A Unified Delay, Power and Crosstalk Model for Current Mode Signaling Multiwall Carbon Nanotube Interconnects

Multiwall carbon nanotube (MWCNT) has been investigated as a potential interconnect material for future advanced technology nodes. The present paper analyzes performance of MWCNT interconnects using current mode signaling (CMS) scheme. The novelty of the present work can be stated as: Firstly, a unified model is proposed for both copper and MWCNT interconnects using finite-difference time-domain (FDTD) technique. Secondly, this model is applicable for both the conventional voltage mode signaling and more versatile CMS schemes. Furthermore, the presented FDTD-based model is valid for single as well as M-line coupled interconnects in integrated circuits. The model also incorporates CMOS gate as driver for MWCNT interconnect. Thirdly, power model using FDTD technique is investigated for the first time. Accurate formulation and computation of power dissipation in CMS MWCNT interconnects are presented in the paper. Propagation delay, power dissipation and power_delay_product (PDP) are the performance metrics considered for single-line CMS MWCNT interconnect. Crosstalk is analyzed for 2-Line and 5-Line coupled interconnects. It is investigated that CMS scheme leads to about 4 times lesser propagation delay and 2.5 times reduced PDP in MWCNT interconnect than the conventional copper interconnect for interconnect length of 4500 $$\upmu $$ m. The technology node considered is 32 nm. The response of the system is accurately computed using the proposed FDTD-based model. The maximum percentage error between results obtained by the proposed analytical model and SPICE simulation model is <3% for the various test cases.

Bit-accurate energy estimation for Networks-on-Chip

Abstract Networks-on-Chip (NoCs) are recognized as the solution to address the communication bottleneck in a Multi-processor System-on-Chip (MPSoC). As NoCs represent a significant part of system consumption, MPSoC designers expect accurate power models in order to produce energy efficient systems. Nowadays, NoC simulators rely on power models that integrate link models without crosstalk modeling. In this study, we present Noxim-XT, a NoC simulator based on Noxim that embeds a link power model with crosstalk modeling. We show that the crosstalk effect has a deep impact on NoC energy consumption since our results demonstrate that classical models generate errors up to 45.5% on the whole NoC energy consumption estimation. In addition, this tool is able to run application-based traffic and we show that under application-based traffics, the energy estimation made by classical models overestimates the NoC energy consumption by up to 50%.

Subcutaneous and Visceral Adipose Tissue Secretions from Extremely Obese Men and Women both Acutely Suppress Muscle Insulin Signaling.

Adipose tissue plays a key role in the development of type-2 diabetes via the secretion of adipokines. The current study investigated if secretion media derived from intact visceral (VAT) and subcutaneous (SAT) adipose tissues from extremely obese men and women differently suppressed insulin signaling in human skeletal myotubes derived from a healthy, non-diabetic male and female donor, respectively. Adipose tissue samples were collected from men and women during laparoscopic bariatric surgery. In general, secretion media collected from both SAT and VAT depots caused impaired insulin signaling in myotubes, independent of sex. In females, this was true regardless of the protein kinase B (Akt) phosphorylation site (Akt Thr308 and Akt Ser473) assessed (p < 0.01). In males, both SAT and VAT secretion media reduced Akt Thr308 activation in insulin-stimulated myotubes compared to controls (p < 0.001); however, only the VAT secretion media impaired Akt Ser473 phosphorylation. Independent of sex, 13 out of 18 detected cytokines, chemokines, and growth factors were more abundant in VAT versus SAT secretion media (p < 0.01). Both SAT and VAT secretion media from obese men and women acutely suppress insulin signaling in myotubes, despite different secretion profiles. We propose that this crosstalk model will help to extend our understanding of the interplay between adipose and muscle, as well as the pathogenesis of type-2 diabetes.